Observational studyCatheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions2017
Predicting long-term bleeding after percutaneous coronary intervention.
Observational study in Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 13 citations in OpenAlex.
- A Systematic Review on Bleeding Risk Scores' Accuracy after Percutaneous Coronary Interventions in Acute and Elective Settings.Healthcare (Basel, Switzerland) · 2021Review
- Incidence and Risk Factors for Antiplatelet Therapy-Related Bleeding Complications Among Elderly Patients After Coronary Stenting: A Multicenter Retrospective Observation.Frontiers in pharmacology · 2021Article
- Effects of Rosuvastatin on Apolipoprotein J in Balloon-Injured Carotid Artery in Rats.Arquivos brasileiros de cardiologia · 2018Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
objectivesTo construct a model to predict long-term bleeding events following percutaneous coronary intervention (PCI).
backgroundTreatment with dual antiplatelet therapy following PCI involves balancing the benefits of preventing ischemic events with the risks of bleeding. There are no models to predict long-term bleeding events after PCI.
methodsWe analyzed 1-year bleeding outcomes from 3,128 PCI procedures in the Patient Risk Information Services Manager (PRISM) observational study. Patient-reported bleeding events were categorized according to Bleeding Academic Research Consortium (BARC) definitions. Logistic regression analysis was used to develop a model predicting BARC ≥ 1 bleeding.
resultsBARC 0, 1, 2 or 3 bleeding was observed in 574 (18.4%); 2382 (76.2%); 114 (3.6%); and 58 (1.8%) patients, respectively. Compared to patients who had no bleeding, patients with BARC ≥ 1 bleeding were more often female (30 vs. 23%), Caucasian (94 vs. 83%), had a higher incidence of drug eluting stent (DES) implantation (83 vs. 76%) and warfarin therapy (7.4 vs. 3.9%), and a lower incidence of diabetes (31 vs. 45%; P-value <0.01 for all comparisons). A 27-variable model had moderate discrimination (c-statistic of 0.674), and good calibration, as did a parsimonious model with 10 variables (c-statistic = 0.667). This model performed well in predicting BARC ≥ 2 bleeding events as well (c-statistic = 0.653).
conclusionsBleeding is common in the first year after PCI, and can be predicted by pre-procedural patient characteristics and use of DES. Objective estimates of bleeding risk may help support shared decision-making with respect to stent selection and duration of antiplatelet therapy following PCI. © 2016 Wiley Periodicals, Inc.
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